op {
  graph_op_name: "RaggedCountSparseOutput"
  visibility: HIDDEN
  in_arg {
    name: "splits"
    description: <<END
Tensor containing the row splits of the ragged tensor to count.
END
  }
in_arg {
    name: "values"
    description: <<END
Tensor containing values of the sparse tensor to count.
END
  }
  in_arg {
    name: "weights"
    description: <<END
A Tensor of the same shape as indices containing per-index weight values.
May also be the empty tensor if no weights are used.
END
  }
  out_arg {
    name: "output_indices"
    description: <<END
Indices tensor for the resulting sparse tensor object.
END
  }
  out_arg {
    name: "output_values"
    description: <<END
Values tensor for the resulting sparse tensor object.
END
  }
  out_arg {
    name: "output_dense_shape"
    description: <<END
Shape tensor for the resulting sparse tensor object.
  END
  }
  attr {
    name: "T"
    description: <<END
Dtype of the input values tensor.
END
  }
  attr {
    name: "minlength"
    description: <<END
Minimum value to count. Can be set to -1 for no minimum.
END
  }
  attr {
    name: "maxlength"
    description: <<END
Maximum value to count. Can be set to -1 for no maximum.
END
  }
  attr {
    name: "binary_output"
    description: <<END
Whether to output the number of occurrences of each value or 1.
END
  }
  attr {
    name: "output_type"
    description: <<END
Dtype of the output values tensor.
END
  }
  summary: "Performs sparse-output bin counting for a ragged tensor input."
  description: <<END
  Counts the number of times each value occurs in the input.
END
}
